International Symposium of Visual Data Mining, VDM
	Visual data mining research seeks to enhance the knowledge discovery process through the use of graphical representations of data mining results and processes and through the combination of visual and computational approaches to data exploration. By leveraging human perceptions of the visual space, patterns that might not otherwise be discovered will be identified through the use of visual data mining techniques. Visual data mining utilizes concepts from a wide variety of disciplines, including: computer graphics, information visualization, knowledge discovery, cognition and visual perception. Papers on all aspects of visual data mining are solicited. Papers will be refereed and appear in the conference proceedings, which will be published by IEEE Computer Society. A selection of the best papers will be recommended for publication in special issues of scientific journals, or as an edited book. TOPICS OF INTEREST: Data mining algorithm visualization Combining visual and computational methods of data exploration Scalability issues Visual querying Temporal visual data mining Spatial visual data mining Empirical studies of performance Collaborative visualization and mining Evaluation of visual data mining methods Reviews and surveys of related literature Applications of visual data mining Case studies Cognitive approaches and explanations for visual data mining Computational steering for long-running data mining applications
www.graphicslink.co.uk/IV07/VDM.htm
Dr Gennady Andrienko - Fraunhofer Institute AIS, Germany: gennady.andrienko@ais.fraunhofer.de Dr Dennis Groth - Indiana University, USA: dgroth@indiana.edu		All other enquiries and submissions should be addressed to: Anita D’Pour Conference Co-ordinator P.O. BOX 29, HATFIELD, AL9 7ZL, United Kingdom. T: (Int. +44) 1707 - 652 224 F: (Int. +44) 1707 - 652 247 E: IV06@graphicslink.co.uk U: www.graphicslink.co.uk/IV07/
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